61% Fake Data

The vast majority of high quality long-term temperature data comes from the US, and in fact much of the planet has little or no long-term temperature data. Because of the poor coverage, it is doubtful that the published global temperature record has any scientific validity. The US is one of very few places with reliable temperature data.

This was very disturbing to both NASA and NOAA. Their CO2 warming theory was failing badly, so they simply changed the data, turning cooling into warming. This happened at the same time Michael Mann was erasing the Medieval Warm Period.

The blue line below shows the five year mean of the average annual temperature at all NOAA United States Historical Climatology Network Stations. The red line shows the graph they release to the public, which has been highly altered to create the appearance of warming – which does not exist in the thermometer data.

If they believe there is error in the data, the correct way to handle it is to leave the data intact, and put error bars on it. Not alter the data and pass it to the public as if it represents the actual thermometer data.

The next graph shows the adjustments they are making, which creates a spectacular hockey stick of data tampering since the 1960s.

Plotted with atmospheric CO2 on the X-axis instead of time, it becomes apparent that the data is being altered precisely (R² = 0.97) to match global warming theory. The ultimate junk science.

Most of the recent data tampering has been due to simply making data up. In their monthly temperature data, they mark estimated (as opposed to measured) temperatures with a capital “E.” So far in 2019, sixty-one percent of the monthly temperature data is now estimated by a computer model, rather than actual measured thermometer data. The amount of fake data is up 500% since 30 years ago.

I grouped the NOAA adjusted temperatures into two groups:

Measured and adjusted (blue)

Estimated (red)

Almost all of the US warming since 1990 is due to fake data from computer models, which now makes up 60% of the data.

The fake data is running two degrees warmer than the measured adjusted data. Not hard to create warming when you are simply making the data up.

Climate scientists openly discussed getting rid of the 1940s warmth, and they did just that.